Edition 1·Updated 2026-10-03·17 min read
Sources
About this book
An overview of the book, with source information for further reading.
A practical workbook that shows IT organizations how to measure, benchmark, and continually improve service performance using ITIL, ISO/IEC 20000, Six Sigma, and ROI techniques.
This workbook turns the theory of IT governance measurement into ready-to-use practice. Grounded in the ITIL Version 3 Continual Service Improvement lifecycle, it equips IT leaders with presentations, templates, KPI examples, an ROI calculator, and Six Sigma tools to demonstrate compliance, prove business value, and do more with less. It explains how to define the right metrics (technology, process, and service), how to benchmark internally and against industry peers, how to pursue ISO/IEC 20000 certification, and how to build a compelling business case using NPV and IRR. For IT organizations under pressure to become efficient service providers, it provides a clear, scalable roadmap from measurement to sustained improvement.
Movement I
Orient
What this book claims, and who wrote it.
- — The book's one-line promise
- — The author and where the book stands
A practical workbook that shows IT organizations how to measure, benchmark, and continually improve service performance using ITIL, ISO/IEC 20000, Six Sigma, and ROI techniques.
The need-to-know
Metrics fall into three types—technology, process, and service—and component metrics roll up into true service measures. IT goals and metrics must be derived from and support business goals via CSFs and KPIs. Tension metrics balance cost, quality, and delivery so teams do not over-optimize a single factor.
About this guide
The guide describes these challenges, steps and possible outcomes.
Who it is for
An IT manager or service owner who wants to prove IT's value, demonstrate compliance, and continually improve service quality.
Challenges
- In practice · IT must comply with new rules, pass external audits, and deliver more value with fewer resources while lacking clear, meaningful measures.
- For the reader · They feel pressure and uncertainty about whether their metrics matter, fearing IT will become irrelevant to the business.
Steps to consider
- 1Review the four presentations to build knowledge of metrics, ISO/IEC 20000, Six Sigma, and ROI.
- 2Use the supporting documents and templates to define your own metrics and reports.
- 3Define CSFs and KPIs that support business goals and set SMART targets.
- 4Benchmark internally and externally to identify improvement gaps.
- 5Apply DMAIC and build ROI business cases to drive and sustain improvement.
Risks
IT remains unable to prove its value and loses relevance to the business. Measurement stays focused on components and blame rather than customer experience.
Intended result
IT is recognized as an effective, efficient service provider that demonstrably delivers business value. Metrics and benchmarks reveal real improvement opportunities and support strong business cases.
Set the record straight
What this book sets straight
The common beliefs this book pushes back on.
Measurement should focus on components, systems, and applications to protect IT and assign blame.
Service measurement should provide a meaningful, end-to-end view of the service as the customer experiences it, not place blame.
Six Sigma only works in manufacturing industries.
Six Sigma is a methodology that applies equally to service and support processes wherever a process can be measured and improved.
Measurements should reflect effort and activity.
Measurements must focus on results and organizational outcomes, not efforts.
Internal audit and self-assessment are enough to gauge IT performance.
Benchmarking against customers and competitors is needed for a true competitive perspective and improvement roadmap.
Movement II
Map
The book's main ideas and how they connect.
IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…'s own model — and how it sits inside its field.
- — 9 constructs the book works with
- — Where it agrees with the field, exceeds it, or fills a gap
The constructs
How they connect (9)
- Metric Design Quality → influences → Customer Experience Focus
- Business Goal Alignment → predicts → Improvement Focus and Discipline
- Benchmarking Practice → predicts → Improvement Focus and Discipline
- Six Sigma Methodology Use → predicts → Improvement Focus and Discipline
- Customer Experience Focus → predicts → Service Performance Improvement
- Improvement Focus and Discipline → predicts → Service Performance Improvement
- Service Performance Improvement → predicts → Demonstrated Business Value
- Leadership Commitment → moderates → Six Sigma Methodology Use
- Leadership Commitment → influences → Improvement Focus and Discipline
Where this book diverges from the corpus
- exceeds The field mentions Six Sigma/DMAIC only as one item in a broader improvement construct, while the book treats DMAIC, belt training and data gathering in operational depth.
- lags The book frames this as a behavioral state of fact-based, balanced trade-offs, while the field ties it to concrete practices (lean, WIP limits, small batches, continuous improvement) and to generative culture.
- lags The book's outcomes (availability, MTTR, breaches, defects) overlap the field's reliability and delivery-performance constructs, which are better operationalized (e.g., time to restore, change fail rate).
Movement III
Master
Explore the book's ideas, examples and practical tools.
How the author makes the case — section by section, with the book's own tools.
- — 9 sections, in the book's order
- — The book's frameworks, checklists, and worked cases
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section shows how to shift measurement from component performance to the end-to-end service the customer actually experiences. It covers metric choices and the behaviors that support them.
Customer Experience Focus
The organizational and behavioral orientation toward measuring and delivering the end-to-end service as the customer experiences it rather than measuring components to assign blame.
Why it matters. When each team reports its own green component, customers still suffer outages and delays that no one owns.
Myth
If every component meets its SLA, the customer experience must be acceptable.
Reality
Component SLAs can all be met while the combined service fails, because gaps and handoffs fall between owners. Only end-to-end measurement reveals what the customer lives with, and it shifts conversations from blame to shared outcomes.
- Customer Experience Focus — decision rulesChecklist — 5 checkpoints
- Six Sigma Methodology Use — decision rulesChecklist — 6 checkpoints
- Customer Experience FocusCase study — The passages give a customer-facing measure: CSF = improving IT service quality, KPI = a 10% increase in the customer satisfaction rating for handling incidents over the next 6 months.
- Measure the service as the customer receives it, in addition to its components.
- Joint, impact-first reviews reduce blame and surface handoff failures.
- Well-designed metrics are the lever that moves an organization toward a customer view.
The deep drill-down: 9 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “End-to-End Service Measurement Card” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section covers the habits that turn measurements into sustained action: fact-based decisions and explicit trade-offs among cost, quality, and delivery. You get ways to build and test those habits.
Improvement Focus and Discipline
The behavioral state of consistently prioritizing measurable improvement, fact-based decision making, and balanced trade-offs among cost, quality, and delivery across the organization.
Why it matters. Organizations with good data but weak discipline report accurately and improve little, because findings never change priorities.
Myth
Improvement discipline is a matter of running more improvement projects.
Reality
Discipline is shown by how routine decisions are made: whether data settles disagreements and whether trade-offs among cost, quality, and speed are made explicitly. Many projects can coexist with an organization that otherwise decides by habit and hierarchy.
- Improvement Focus and Discipline — decision rulesChecklist — 5 checkpoints
- Improvement Focus and DisciplineCase study — The source passages give a qualitative case.
- Discipline appears in everyday decisions, not in the count of improvement projects.
- Make cost, quality, and delivery trade-offs explicit in each proposal.
- Follow-through on committed actions is the clearest leading indicator of this discipline.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Balanced KPI Definition Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 2 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section explains how to show real, measured gains in service quality, availability, and repair times that trace back to specific changes. It helps you separate genuine improvement from noise.
Service Performance Improvement
Measurable gains in service quality, availability, reliability, and process capability, including reduced defects, breaches, and mean time to repair achieved through measurement-driven change.
Why it matters. Without credible improvement evidence, the measurement program looks like overhead and loses funding before it pays back.
Myth
Any improvement in a service metric after a program launches proves the program worked.
Reality
Service metrics move for many reasons, including volume shifts, seasonality, and redefined counting rules. Attributable improvement requires a stable baseline and a link between a specific change and the metric that moved.
- Service Performance ImprovementCase study — Take the workbook's quantitative example.
- End-to-End Service Measurement CardTemplate
- Business Value Case SheetTemplate
- Baseline before changing anything, or later gains cannot be attributed.
- Tie each improvement action to a specific metric and verify the movement.
- Normalize for volume and definition changes to keep improvement claims defensible.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “CSF-to-KPI Improvement Measurement Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section shows how to convert service improvements into a business case the organization accepts, covering ROI, compliance, and competitive position. It addresses what evidence executives will trust.
Demonstrated Business Value
The extent to which IT can prove its contribution through positive ROI, compliance, competitive positioning, and a compelling business case linking improvements to business objectives.
Why it matters. IT that cannot prove its contribution is treated as a cost to cut rather than an investment to grow.
Myth
Strong technical performance statistics are enough to prove IT's business value.
Reality
Executives respond to outcomes in their own terms, such as avoided cost, revenue protected, and risk reduced. Uptime and MTTR matter only once translated into those terms with a stated method.
- Demonstrated Business ValueFramework — How this mechanism is run, step by step, as the literature describes it.
- Demonstrated Business Value — decision rulesChecklist — 5 checkpoints
- Demonstrated Business ValueCase study — The passages give two paired examples.
- Convert technical gains into the language of cost, revenue, and risk before presenting them.
- Agree on valuation methods with finance up front so results are accepted.
- A business case that links improvements to named objectives is the proof, not the raw metrics.
The deep drill-down: 9 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Business Value Case Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section shows how to test whether each IT measure is trustworthy, clearly defined, and useful before it enters a scorecard. It covers technology, process, and service metrics alike.
Metric Design Quality
The degree to which performance measures are accurate, reliable, well-defined, relevant to objectives, non-perverse, and lead to improvement opportunities, spanning technology, process, and service metrics.
Why it matters. A badly specified metric produces confident decisions on false data, and it teaches teams to optimize the number instead of the outcome.
Myth
More metrics, collected more frequently, give better governance visibility.
Reality
Value comes from a small set of metrics that are defined unambiguously, repeatable across teams, and hard to game. Volume without definition just creates arguments about whose number is right.
- Metric Design QualityFramework — How this mechanism is run, step by step, as the literature describes it.
- Service Performance ImprovementFramework — How this mechanism is run, step by step, as the literature describes it.
- Metric Design Quality — decision rulesChecklist — 5 checkpoints
- Service Performance Improvement — decision rulesChecklist — 5 checkpoints
- Metric Design QualityCase study — The source's qualitative example runs as follows.
- Balanced KPI Definition SheetTemplate
- Metric Definition CardTemplate
- CSF-to-KPI Improvement Measurement SheetTemplate
- Every metric needs a written definition, owner, and linked decision, or it does not go on the scorecard.
- Screen for perverse behavior before launch; a gameable metric is worse than no metric.
- Prune unused metrics each cycle so quality, not quantity, defines the measurement set.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Metric Definition Card” tool. Included when you buy this guide.
The rest of this section
the full written section · 4 how-to steps · 2 pitfalls to watch for · 8 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section gives you a method for tracing each IT metric upward through KPIs and critical success factors to a stated business objective. It shows where the chain breaks.
Business Goal Alignment
The extent to which IT goals, CSFs, KPIs, and metrics are derived from and support business goals and objectives, ensuring measurement focuses on results contributing to business value.
Why it matters. Without a traceable line to business goals, IT optimizes its own efficiency and cannot explain why its results matter to executives.
Myth
If IT metrics are green, IT is aligned with the business.
Reality
Alignment is a derivation, not a status color: metrics are aligned only when they were built downward from business objectives. IT can hit every target and still serve goals the business no longer holds.
- Business Goal AlignmentFramework — How this mechanism is run, step by step, as the literature describes it.
- Customer Experience FocusFramework — How this mechanism is run, step by step, as the literature describes it.
- Improvement Focus and DisciplineFramework — How this mechanism is run, step by step, as the literature describes it.
- Business Goal Alignment — decision rulesChecklist — 5 checkpoints
- Business Goal AlignmentCase study — The source gives a two-line trace from business goal to measurement.
- Goal-to-Measurement Alignment Trace SheetTemplate
- Derive metrics from business objectives top-down; retrofitting links produces the appearance of alignment only.
- Orphan metrics are a signal to cut or justify, and a traceability map makes them visible.
- Refresh the cascade whenever business strategy shifts, or alignment decays silently.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Goal-to-Measurement Alignment Trace Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 6 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section explains how to compare your IT performance against your own history, industry norms, and competitors in a way that yields usable gaps. It focuses on comparability and follow-through.
Benchmarking Practice
The systematic comparison of processes, technology, staffing, and performance against internal baselines, industry norms, and competitors to identify gaps and improvement opportunities.
Why it matters. Done well, benchmarking exposes concrete gaps worth closing; done poorly, it yields flattering or irrelevant comparisons that justify complacency.
Myth
Benchmarking means buying an industry report and ranking yourself against the average.
Reality
An average is only meaningful when scope, cost definitions, and service levels match yours, and the real payoff comes from process-level comparison and your own baselines. A rank without a gap analysis changes nothing.
- Benchmarking PracticeFramework — How this mechanism is run, step by step, as the literature describes it.
- Benchmarking Practice — decision rulesChecklist — 5 checkpoints
- Benchmarking PracticeCase study — The workbook cites a Six Sigma staffing norm: Harry & Schroeder suggest one black belt for every $10M of revenue, and the claim that an average black belt project saves $175K.
- Benchmark Gap and Attribution SheetTemplate
- Baseline internally before looking outward; otherwise external gaps cannot be trusted.
- Normalize peer data for scope and service level, or the comparison misleads.
- A benchmark is complete only when each gap becomes an owned improvement action.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Benchmark Gap and Attribution Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section describes how to apply DMAIC to IT processes with trained belts and sound data. It also marks where the method fits and where it does not.
Six Sigma Methodology Use
The disciplined application of the DMAIC approach, supported by trained belts and rigorous data gathering, to reduce process variation and improve capability toward customer requirements.
Why it matters. Applied rigorously, Six Sigma reduces variation that frustrates customers; applied as ritual, it consumes skilled staff on projects that move no metric.
Myth
Six Sigma is a manufacturing technique that adds little to IT, where work is too variable to be measured statistically.
Reality
IT processes such as incident resolution, change, and release produce abundant data, and their variation is exactly what DMAIC isolates. The constraint is data discipline and project selection, not the nature of the work.
- Six Sigma Methodology UseFramework — How this mechanism is run, step by step, as the literature describes it.
- Six Sigma Methodology UseCase study — The source supplies no project data, so this walks its logic through a hypothetical IT service and invents no figures.
- DMAIC Project Charter and Control SheetTemplate
- Choose DMAIC projects by customer-relevant defects, not by what is easiest to run.
- Validate the data before analysis; weak measurement undermines every later phase.
- Belts without protected time and sponsorship will not deliver, so resource them or skip the program.
The deep drill-down: 8 operational steps, a worked example from the source, 6 decision rules, 6 failure modes, and the “DMAIC Project Charter and Control Sheet” tool. Included when you buy this guide.
The rest of this section
the full written section · 4 how-to steps · 2 pitfalls to watch for · 3 tools for this section. Included when you buy this guide.
strong · 1 source
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to…
This section details what visible, resourced executive support looks like and how it strengthens methods like Six Sigma. It gives you concrete signals to look for and request.
Leadership Commitment
The degree of committed, top-down management support, resource provision, and strategic alignment required to make measurement and improvement initiatives succeed.
Why it matters. Measurement and improvement programs stall when leaders endorse them verbally but withhold funding, time, and consequences.
Myth
A signed executive sponsorship memo means leadership commitment is in place.
Reality
Commitment shows in behavior: budget protected during pressure, leaders using the metrics in their own decisions, and time freed for improvement work. Sponsorship on paper, without these, leaves teams to improvise.
- Leadership CommitmentFramework — How this mechanism is run, step by step, as the literature describes it.
- Leadership Commitment — decision rulesChecklist — 5 checkpoints
- Leadership CommitmentCase study — GE, Allied Signal and Motorola are the sources' examples of committed leadership.
- Leadership Commitment Readiness ChecklistTemplate
- Judge commitment by resources and recurring behavior, not by endorsement statements.
- Leaders who use the metrics in decisions make the metrics credible to everyone else.
- Without committed sponsorship, even sound methods like DMAIC lose traction.
The deep drill-down: 8 operational steps, a worked example from the source, 5 decision rules, 5 failure modes, and the “Leadership Commitment Readiness Checklist” tool. Included when you buy this guide.
The rest of this section
the full written section · 3 how-to steps · 2 pitfalls to watch for · 4 tools for this section. Included when you buy this guide.
Movement III · The run-it-now depth
The Playbook
Practical tools and examples from this guide.
Frameworks
Benchmarking Practice
How this mechanism is run, step by step, as the literature describes it.
- 1Set the internal baseline first. The workbook defines a baseline as the base level of previous or current performance, used to set improvement goals and judge later progress. Record the current value of each metric before you contact any outside party. Without it, an external gap has nothing to be measured against.
- 2Choose the subject and split it across the four things the construct compares: process, technology, staffing and performance. Give each metric one of the Balanced ScoreCard lenses (financial, customer, internal, learning and growth). This keeps you from benchmarking only cost. The workbook's balanced-performance logic says managing one force is easy, two is harder, and balancing customers, employees and operational/financial results is difficult but necessary.
- 3Fix the unit of data collection before collecting. The workbook notes that data collection for process transactions differs from data collection for a function. Decide whether you are benchmarking a transaction-level process or a whole function, and define each metric the same way for every party you compare.
- 4Budget the three costs the workbook names. Visit costs are travel and accommodation. Time costs arise because team members spend part of each day researching problems, finding exceptional companies, visiting and implementing, so additional staff may be needed to backfill. Database costs apply if you institutionalize benchmarking with a maintained database of best practices and the companies behind each one.
- 5Select benchmarking partners. These are the other organizations you compare against to find best practices to adopt. Use three reference classes: your own prior performance, industry norms, and named competitors or exceptional companies. Record which class each comparison number comes from.
- 6Compute the gap per metric as your baseline versus each reference value. Before accepting an external figure, check how it was produced. The workbook notes that the Six Sigma savings claims from ABB, Allied Signal and GE are debated. Treat any published figure as a claim to verify, not as a target.
- 7Attribute results with one of the workbook's three techniques after you act. Forecast analysis projects a trend line as if the program had not happened. Impact analysis uses estimates from managers, independent experts and external assessments when data is missing or inconsistent. A control group runs a pilot in one geography, delivery centre or branch and compares it with a similar unaffected one. Use the strongest technique your data supports.
- 8Store the findings in the benchmarking database: metric, partner, value, date and adopted practice. Re-run the comparison on a fixed cycle against the updated baseline, so the next gap is measured from what you achieved.
Business Goal Alignment
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Customer Experience Focus
How this mechanism is run, step by step, as the literature describes it.
◆ The full 9-step framework — included with this guide purchase
Demonstrated Business Value
How this mechanism is run, step by step, as the literature describes it.
◆ The full 9-step framework — included with this guide purchase
Improvement Focus and Discipline
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Leadership Commitment
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Metric Design Quality
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Service Performance Improvement
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Six Sigma Methodology Use
How this mechanism is run, step by step, as the literature describes it.
◆ The full 8-step framework — included with this guide purchase
Checklists
Benchmarking Practice — decision rules
- If you have no internal baseline for a metric, then measure it first and delay external comparison, because a gap cannot be computed without a base level.
- If historical data is missing or inconsistent, then use impact analysis (expert and stakeholder estimates). If you have a clean trend, then use forecast analysis. If you can pilot in a subset, then prefer a control group.
- If a benchmark claim is publicly debated, as the Six Sigma savings claims are, then treat it as a hypothesis and verify it with a pilot before you set a target from it.
- If benchmarking is a one-off exercise, then budget only visit and time costs. If you plan to repeat it, then also budget for a best-practice database.
- If your scorecard is dominated by one lens (e.g. financial), then add customer, internal and learning-and-growth measures before you act on the gaps.
Business Goal Alignment — decision rules
◆ All 5 checkpoints — included with this guide purchase
Customer Experience Focus — decision rules
◆ All 5 checkpoints — included with this guide purchase
Demonstrated Business Value — decision rules
◆ All 5 checkpoints — included with this guide purchase
Improvement Focus and Discipline — decision rules
◆ All 5 checkpoints — included with this guide purchase
Leadership Commitment — decision rules
◆ All 5 checkpoints — included with this guide purchase
Metric Design Quality — decision rules
◆ All 5 checkpoints — included with this guide purchase
Service Performance Improvement — decision rules
◆ All 5 checkpoints — included with this guide purchase
Six Sigma Methodology Use — decision rules
◆ All 6 checkpoints — included with this guide purchase
Case studies — including what didn't work
Benchmarking Practice
The workbook cites a Six Sigma staffing norm: Harry & Schroeder suggest one black belt for every $10M of revenue, and the claim that an average black belt project saves $175K. Treat these as external benchmark claims. Step one is your baseline. Count your current trained improvement leads and the revenue they cover, and record completed-project savings. As a hypothetical for illustration only, a firm with $50M revenue would compare its actual count against 5 black belts. Step two is the gap: if it has 1, the staffing gap is 4. Step three is the cost test: the workbook says black belt training is a massive investment (about four weeks of quality-tools training per black belt), so you price that against the claimed $175K per project. The workbook warns that the large corporate savings figures (GE at 5.5% of sales, for example) are debated. So you do not adopt the ratio blindly. You pilot it with a control group in one delivery centre, compare it with a similar centre without black belts, and decide on measured savings.
Business Goal Alignment
The source gives a two-line trace from business goal to measurement. Take the business goal of reducing IT costs. The CSF is 'Reducing IT costs'. The KPI is a 10% reduction in the costs of handling printer incidents. The metrics required are the original cost of handling a printer incident, the final cost, and the cost of the improvement effort. The measurements feeding those metrics are time spent on the incident by 1st and 2nd level operatives and their average salary, time spent on Problem Management activities, time spent training 1st level operatives on the workaround, and the cost of calls to a 3rd-party vendor. Including the improvement effort's cost keeps the result honest, because the saving is judged net of what it took to achieve it. The qualitative twin runs the same chain from 'Improving IT service quality' to a 10% rise in incident-handling satisfaction over 6 months, measured by the starting and ending survey scores and the number of scores collected. In both chains, every measurement can be traced upward to a business-level goal.
◆ What happened, and the outcome — included with this guide purchase
Customer Experience Focus
The passages give a customer-facing measure: CSF = improving IT service quality, KPI = a 10% increase in the customer satisfaction rating for handling incidents over the next 6 months. You capture the original customer satisfaction score for incident handling and the ending score, using the incident handling survey score and the number of survey scores as measurements. The KPI rests on what the customer rates, not on how fast any one team closed its tickets. In parallel you keep component metrics such as availability and performance, but use them as inputs that compute the service metric rather than as the report. A team that once reported 'our server was up' now reports the service level the customer actually experienced. Pairing this with a cost KPI, such as a 10% reduction in the cost of handling printer incidents, acts as a tension metric: satisfaction cannot be bought without regard to cost, and cost cannot be cut without watching satisfaction.
◆ What happened, and the outcome — included with this guide purchase
Demonstrated Business Value
The passages give two paired examples. Quantitative: CSF = reducing IT costs; KPI = 10% reduction in the cost of handling printer incidents. The required metrics are the original cost per printer incident, the final cost per printer incident, and the cost of the improvement effort. The measurements feeding them are 1st and 2nd level operative time times average salary, time spent on Problem Management, time spent training 1st level staff on the workaround, and cost of calls to the 3rd party vendor. Qualitative: CSF = improving IT service quality; KPI = 10% increase in customer satisfaction for incident handling over 6 months. The metrics are the original and ending satisfaction scores, measured by the incident handling survey score and the number of survey scores. Together they let IT say 'cost per incident fell by X against an improvement cost of Y, and satisfaction rose', which is a business case tied to stated objectives. No figures beyond the 10% targets are given in the source, so the actual results come from your baseline.
◆ What happened, and the outcome — included with this guide purchase
Improvement Focus and Discipline
The source passages give a qualitative case. The CSF is 'Improving IT service quality.' The KPI is a 10% increase in customer satisfaction rating for handling incidents over the next 6 months. You first record the original customer satisfaction score for handling incidents. The measurements are the incident handling survey score and the number of survey scores collected. At month six you take the ending score and compare it with the baseline. A tension metric stops the target being met by cutting corners elsewhere. If the team hits a delivery or response target by flexing resources and features, the passages warn that the budget rises or quality falls. So you also track cost, such as time spent on Problem Management activities and the cost of calls to third-party vendors, alongside the satisfaction score. The improvement counts only if satisfaction rises and cost and quality hold. The measure is the result, not the number of surveys sent.
◆ What happened, and the outcome — included with this guide purchase
Leadership Commitment
GE, Allied Signal and Motorola are the sources' examples of committed leadership. Jack Welch (GE), Larry Bossidy (Allied Signal) and Bob Galvin (Motorola) showed their commitment through behavior, drive, energy and provision of resources. At GE, Six Sigma is applied across the business, including product development, R&D, order fulfillment and back-office operations, to align resources to critical business problems and deliver strategic objectives. GE makes managers and aspiring managers complete the equivalent of black belt training to qualify for promotion. It has produced more than 70,000 part-time improvement team leaders, which the source says sends a powerful message about long-term commitment. It also includes Six Sigma competency and experience in the appraisal of all staff, including executives. The pattern is that leadership commitment shows up in promotion rules, appraisals and resourcing, not in announcements.
◆ What happened, and the outcome — included with this guide purchase
Metric Design Quality
The source's qualitative example runs as follows. The objective is better IT service quality, so the CSF is 'Improving IT service quality.' The KPI is 'a 10% increase in customer satisfaction rating for handling incidents over the next 6 months.' The metrics required are the original customer satisfaction score for handling incidents and the ending score at six months. You measure the baseline now, from the same survey and the same incident population you will use at the end. You set the target as baseline × 1.10 and fix the six-month date. You tag the metric as a process metric, since it tells you about the incident process. It answers the quality question. At month six you compare the two scores. A shortfall becomes an improvement opportunity for the incident process, and a hit prompts the question of whether the target was set too low. The source gives no scores, so the numbers stay as blanks in the tool below.
◆ What happened, and the outcome — included with this guide purchase
Service Performance Improvement
Take the workbook's quantitative example. The CSF is reducing IT costs, and the KPI is a 10% reduction in the cost of handling printer incidents. You need three metrics: the original cost per printer incident, the final cost per printer incident, and the cost of the improvement effort. The measurements feeding them are time spent by 1st and 2nd level operatives multiplied by their average salary, time spent on Problem Management activities, time spent training 1st level on a workaround, and the cost of calls to a 3rd party vendor. You baseline those inputs first, which yields the original cost. After the change, you re-measure the same inputs for the final cost. The KPI is met only if the final cost sits at least 10% below the original, and the improvement-effort cost is counted so the saving is net. The workbook's qualitative counterpart tracks an incident handling survey score, so you also record the starting and ending customer satisfaction score and the number of survey scores. That check shows cost fell without service quality falling.
◆ What happened, and the outcome — included with this guide purchase
Six Sigma Methodology Use
The source supplies no project data, so this walks its logic through a hypothetical IT service and invents no figures. A team reports component uptime for servers, networks and applications. The reports show the components healthy, yet customers complain. The source describes the cause: organisations often report on components to protect themselves or point blame elsewhere, rather than showing the service level the customer experiences. In Define, the team states the customer's requirement for the service and maps the process by its inputs, outputs, controls and resources. A defect becomes any service outcome outside what the customer expects, whatever the component dashboards say. In Measure, the team rolls component data up into an end-to-end service measure, following the Availability Reporting approach, and counts defects per opportunity as DPMO against the 3.4-per-million goal. In Analyze, it uses statistical analysis to find where variation enters the service. In Improve, it removes the sources of variation and cuts any activity that adds no customer value. In Control, it writes a control plan with the new targets and trains operators to read SPC charts so the variables stay within range. A Black Belt leads the team, Green Belts apply the tools in their own roles, and a Master Black Belt reviews the Black Belt's work.
◆ What happened, and the outcome — included with this guide purchase
Templates
Benchmark Gap and Attribution Sheet
Goal-to-Measurement Alignment Trace Sheet
◆ The fillable template — included with this guide purchase
End-to-End Service Measurement Card
◆ The fillable template — included with this guide purchase
Business Value Case Sheet
◆ The fillable template — included with this guide purchase
Balanced KPI Definition Sheet
◆ The fillable template — included with this guide purchase
Leadership Commitment Readiness Checklist
◆ The fillable template — included with this guide purchase
Metric Definition Card
◆ The fillable template — included with this guide purchase
CSF-to-KPI Improvement Measurement Sheet
◆ The fillable template — included with this guide purchase
DMAIC Project Charter and Control Sheet
◆ The fillable template — included with this guide purchase
Items marked Paid are included when you buy this guide.
Movement IV
Reflect
Consider the book's evidence, limitations and how it compares with other sources.
How good is it — where the book stands against the field, what it leaves open, and when to trust it.
- — Its positioning, its critique, its blind spots
- — When to apply it — and when not
- — The evidence behind the advice
Book profile · in the corpus
This book’s model, against the corpus
9 of 9 constructs align with the field · 0 the book adds · 3 where it diverges · the field spans 28 constructs across 11 books
Shared with the corpus — corroborated by other sources
Where it diverges — the book and the field pull apart
The corpus adds — from 10 other sources this book doesn't cover
The full field guide folds in ideas this book doesn’t reach — drawn from 10 further sources and cited in the full model.
This book’s place in the corpus
Why the corpus guide, not just this book
The book stands on the metrics/ITIL/Six Sigma tradition and is the authority on measurement design, benchmarking and DMAIC applied to IT service management. The reconciled field-guide still adds what the book lacks: delivery automation, architecture, culture, observability, burnout and incident response, plus empirically grounded delivery-performance outcomes.
This guide stands on the shoulders of this book and 10 other sources — every claim cited, the disagreements named.
Read it closely
The book, examined
Not a summary — a close analytical reading: how the book is built, what it leaves open, and where it falls short.
How it’s built — the argument in order
- 01Front matter and Table of Contents — Frames the book as a ready-to-use workbook (roadmap, presentations, templates) rather than a theoretical treatise. The Table of Contents shows the modular layout: Introduction Road Map, then separate presentations on IT governance metrics/measures/benchmarking, ISO/IEC 20000, and Six Sigma. Rights, liability and review-solicitation notices make clear it is a commercial product.
- 021. Introduction Road Map — Orients the reader to the ITIL V3 Continual Service Improvement lifecycle and the path from measurement to sustained improvement. It points to the documents that follow so each can be used in sequence.
- 032. IT Governance Metrics, Measures & Benchmarking Presentation — Core conceptual section. It distinguishes technology, process and service metrics, derives IT goals and metrics from business goals through CSFs and KPIs, and sets out tension metrics. It presents benchmarking (internal, industry, competitor) as the starting point for improvement.
- 043. ISO/IEC 20000 Introduction Presentation — Explains the service management standard and what certification requires. It positions certification as a way to demonstrate compliance and credibility.
- 054. Six Sigma Presentation — Introduces DMAIC and the belt infrastructure as the way to reduce variation and produce bottom-line results. It gives the statistical grounding: a normal distribution, a ±3σ short-term spread, a 1.5σ long-term shift, and 3.4 ppm defects at 6σ. A sigma-capability table (6σ world class, 5σ best in class, 4σ average) supplies comparative positions. It openly admits the 1.5σ shift has critics and sets that debate aside.
- 06Business case / ROI material — Builds the investment case for service management by combining NPV/IRR financial analysis with non-financial benefits tied to business objectives. It is supported by an ROI calculator.
- 07Process-modeling and strategy-to-operations material — Argues that strategic tools (e.g., scenario planning) focus on commercial and financial impacts. They leave two gaps: they fail to identify operational nodes needing review, and they fail to link strategy creation to implementation. Business process modeling is offered as the remedy, giving a common structure to optimize work horizontally by process and vertically by function.
- 08Appendices and Glossary — Supplies process-model formats and definitions of quality and performance terms (Baldrige-style: deployment, direction, effective, efficient, efficiency measures, delighting the customer). These create a shared vocabulary for measurement and quality discussions.
What it leaves unsolved
Is the Six Sigma 1.5-sigma shift statistically valid, and does it apply to IT service processes?
The text concedes the shift 'is not without its critics' and declares the debate 'outside the scope.' It asserts that Six Sigma 'offers one solution' without justifying the assumption for IT.
How can the performance of strategy creation be tied to operational execution in a reliable way?
The passage identifies two gaps in strategic tools: missed operational nodes and a weak strategy-to-operations link. It proposes process modeling as the answer, but the excerpt does not show how the link is verified in practice.
What concrete benchmark values and peer data should an IT organization compare itself against?
Benchmarking is presented as the starting point for improvement, but the excerpts give no source, normalization method, or data for peer comparison. The sigma table's labels (world class, industry average) are generic, not IT-specific.
How should non-financial benefits be quantified and weighed against NPV/IRR in a business case?
The book says cases should combine financial and non-financial impacts but, in the material provided, offers no weighting or valuation method for the non-financial side.
How can a manufacturing-derived method such as ppm defect rates map onto IT services that are intangible, variable and co-produced with customers?
The sigma table and tolerance-limit logic come from parts manufacturing ('parts per million'). The excerpt does not say what counts as a 'defect' or a specification limit for service delivery.
What prevents metric overload or gaming once many KPIs and tension metrics are in place?
Tension metrics are offered to prevent over-optimizing one factor. The text does not address behavioral side-effects or a limit on how many metrics to maintain.
Where it falls short — a fair critique
The Six Sigma material is built around the manufacturing notion of 'parts per million out of specification' and specification limits (USL/LSL), with no explanation of how those map to IT service outcomes such as incidents, response times or changes. Readers are told what 6σ means statistically but not how to define defects or tolerances for services.
The 1.5σ shift is stated as an applied principle ('Applying this principle...'), yet the authors acknowledge critics and decline to engage with them. Beyond that, the presentation is internally loose: it says 0.002 ppm falls outside the ±6σ spec for a centered process and 3.4 ppm after the shift. It also says 'a process naturally centered' has ±3σ spread equal to half the tolerance, which is a confusing formulation for newcomers. A workbook relying on these figures should either justify or caveat them.
The sigma explanation is muddled: it says the natural spread is ±3σ, then that 'this process variation is only half the width of the design tolerances,' and that 99.9973% is contained by it. 99.9973% corresponds to ±4σ-ish coverage under a shifted 4.5σ calculation, not the ±3σ (99.73%) coverage stated. The 6.0σ − 1.5σ = 4.5σ arithmetic is presented as if it were a derivation, though it is a rule of thumb. This weakens trust in the quantitative sections.
The 'ready-to-use' framing, with presentations, templates and KPI lists, emphasizes artifacts over evidence. The excerpts offer no case data, empirical results or failure cases showing that the combination of ITIL, ISO 20000, Six Sigma and ROI methods actually improves service performance or demonstrates value. The claims to 'do more with less' and 'prove business value' are asserted, not demonstrated.
The material blends sources (Baldrige glossary definitions, a generic business-process-management argument, strategy-tool critique) with ITIL-specific content, apparently with little adaptation. Definitions such as 'efficient: lowest possible minimum cost' reflect a narrow productivity view that sits uneasily with the book's own advocacy of tension metrics balancing cost, quality and delivery. The mixture risks implying all these frameworks are seamlessly compatible.
Leadership commitment, organizational change and the human side of adoption (culture, resistance, skills for belt programs, certification cost and effort for ISO/IEC 20000) get little visible treatment in the excerpts. These are well-known determinants of whether measurement and improvement programs persist. As a result the roadmap seems to be procedural rather than addressing why programs stall.
The book is described as an ITIL V3 CSI-based workbook, but no excerpt shows how ITIL's 7-step improvement process or the CSI register connects to the metrics hierarchy, benchmarking and DMAIC. Without this integration the sections can read as parallel presentations rather than a single coherent method.
Before you apply it
Using it well
Where the method fits, who it’s for, and the honest case for and against — so you apply it where it works.
Is this book for you?
For you if
- You lead or work in an IT service organization pressured to show value, cut cost, or do more with less
- You need ready-made presentations, templates, KPI examples and an ROI calculator rather than theory
- You are preparing for ISO/IEC 20000 certification or ITIL-aligned continual service improvement
- You must justify service management spending to business or finance stakeholders
- You want to start a Six Sigma or benchmarking program in IT
Skip it if
- You need a rigorous academic treatment of Six Sigma statistics or its critiques
- Your organization is fully agile/DevOps and not using ITIL-style service management
- You already run a mature, certified measurement and CSI program
- You want in-depth, current benchmark data rather than methods
Need first
- Basic familiarity with ITIL V3 service lifecycle concepts and terminology
- Defined business goals or strategy to derive CSFs and KPIs from
- Executive sponsorship and access to baseline performance data
- Basic grasp of process thinking, plus NPV/IRR concepts if building the ROI case
When it applies — and when it doesn’t
- Building a KPI/metric set for a new or immature IT service organization that has no measurement baseline — the technology/process/service metric taxonomy and CSF-to-KPI derivation give a structured starting point with ready templates
- Preparing a business case for a service management investment to a CFO or steering committee — combines NPV/IRR with non-financial impacts tied to business objectives, and includes an ROI calculator
- Pursuing ISO/IEC 20000 certification or demonstrating compliance to auditors or customers — the workbook includes an ISO/IEC 20000 introduction and compliance-oriented measurement guidance
- Benchmarking internally across teams or sites to find process improvement targets — benchmarking is presented as the starting point for improvement, and internal comparison is the easiest to do consistently
- Applying Six Sigma DMAIC to high-volume, repeatable IT processes such as incident or change handling — measurable variation and defect counts make DMAIC and the belt structure a good fit
- Linking strategy to operations by modeling business processes end to end — process modeling is offered as a way to close the gap between strategic planning and operational practicality
- Benchmarking against industry peers or competitors — comparability depends on matching definitions, scope and maturity, and the material gives limited guidance on sourcing valid peer data
- Setting individual or team targets from a single efficiency or cost metric — the tension-metric idea warns that optimizing one of cost, quality or delivery distorts the others
- Using the workbook where leadership will not sponsor change or fund measurement effort — templates and presentations do not substitute for the commitment that sustained improvement needs
- Treating the workbook as current guidance for modern agile/DevOps or cloud-native delivery — it is grounded in ITIL V3 and the CSI lifecycle, so metrics and practices may need adapting
- Applying sigma-level targets (e.g. 3.4 ppm) to low-volume, bespoke, or creative IT work such as architecture or R&D — the statistics assume repeatable process output, and the source itself notes the 1.5-sigma shift is contested
- Expecting the book to teach deep ITIL, statistics, or finance theory from scratch — it is a practical kit of templates and presentations, not a full theoretical treatment
The honest case
Strongest case for
- Deriving IT metrics from business goals via CSFs and KPIs keeps measurement meaningful and prevents metric sprawl
- Separating technology, process and service metrics, and rolling components up into service measures, reflects what customers actually experience
- Tension metrics guard against gaming and over-optimizing one dimension at the expense of cost, quality or delivery
- Benchmarking gives an objective starting point and exposes gaps that internal opinion would miss
- DMAIC gives a disciplined, data-driven method with accountability structures (belts) that links improvement to bottom-line results
- Pairing NPV/IRR with non-financial benefits speaks to both finance and business leaders, making IT investment defensible
- Ready-to-use templates lower the cost of adoption and speed up getting started
Strongest objection
- A heavy framework of metrics, benchmarks, certification and belts can create bureaucracy and measurement for its own sake
- The 1.5-sigma shift is statistically contested, and sigma targets fit poorly with variable, knowledge-intensive IT work
- Peer benchmarks are often not truly comparable, and chasing them can drive imitation rather than fit to the business
- Quantified ROI for IT service improvements often rests on soft assumptions, giving false precision
- Certification may reward documented compliance rather than better service outcomes
- A workbook of generic templates may not adapt to the specific context, and an ITIL V3 basis may date the approach
The model's constructs are drawn from the source element(s); load-bearing constructs are corroborated across the shelf, emerging ones are flagged.
Ideas covered by the source notes
- Metric Design Quality
- Business Goal Alignment
- Benchmarking Practice
- Six Sigma Methodology Use
- Leadership Commitment
- Customer Experience Focus
Movement V
Measure
Use available assessments to reflect on what you have learned.
A way to gauge yourself against the book's model, and the instruments it gives you.
- — A self-check built from the book
- — Instruments and what you'd measure next
Learning curriculum
After this book, you can…
The book's learning objectives, classified by Bloom's taxonomy and ordered so each builds on the ones before it.
- explainAfter this book you can explain why IT organizations must measure performance ("you cannot manage what you cannot measure", "measure results, not efforts") and define core terms such as effectiveness, efficiency, and process capability.Check: Short-answer or glossary quiz: define effectiveness vs. efficiency and justify why results-based measures are preferred over effort-based measures, using an IT example.
- outlineAfter this book you can outline the requirements and steps for ISO/IEC 20000 certification and link the evidence to compliance and service management measurement.Check: Build a certification roadmap including a gap assessment, the required processes and documentation, the audit, and the metrics that serve as compliance evidence.
- applyAfter this book you can apply the DMAIC approach and describe the belt infrastructure to reduce variation in an IT process.Check: Given process data, outline each DMAIC phase, define specification limits, and describe the roles of the belts and the data collection required.
- deriveAfter this book you can derive IT goals, critical success factors (CSFs), and KPIs from stated business goals, producing a traceable alignment chain.Check: Given a business strategy scenario, produce a goal→CSF→KPI→metric cascade and show the traceability of each metric to a business goal.
- planAfter this book you can plan and conduct internal, industry, and competitor benchmarking to establish baselines and identify process improvement opportunities.Check: Produce a benchmarking plan for a chosen IT process: scope, data sources, comparison group, and gap analysis with prioritized improvement opportunities.
- applyAfter this book you can apply the ITIL V3 Continual Service Improvement lifecycle to turn measurement results into a continuing cycle of service improvement.Check: Walk through a case in which measurement data triggers an improvement initiative, mapping each step to CSI activities and showing how the gains are sustained.
- classifyAfter this book you can classify a given metric as a technology, process, or service metric and show how component metrics roll up into an end-to-end service measure.Check: Given a list of 15 sample IT metrics, classify each by type and draw a roll-up from component metrics to one service measure (e.g., availability of an email service).
- interpretAfter this book you can interpret sigma levels, defects per million, and the 1.5-sigma shift to judge process capability against comparative benchmarks.Check: Given defect data for a process, work out the approximate sigma level, compare it with the world-class and industry-average positions, and explain the long-term shift assumption and its criticisms.
- evaluateAfter this book you can evaluate a proposed metric against the quality criteria (accurate, reliable, well-defined, relevant, non-perverse, leads to improvement) and revise weak metrics.Check: Critique a set of flawed KPIs, identify which criteria each violates (including perverse incentives), and rewrite them to meet the criteria.
- constructAfter this book you can build an ROI business case that combines NPV and IRR with non-financial impacts linked to business objectives.Check: Use the ROI calculator to model costs and benefits of a service management investment, calculate NPV and IRR, add non-financial benefits, and present a recommendation tied to business goals.
- designAfter this book you can design a balanced set of tension metrics covering cost, quality, and delivery so that no single factor is over-optimized.Check: For a service desk or change process, build a metric set with paired tension metrics and explain the trade-offs and the behaviors each would encourage.
- justifyAfter this book you can justify the leadership commitment, resourcing, and customer-experience orientation needed to sustain a measurement and improvement program.Check: Prepare an executive briefing arguing for top-down sponsorship, resources, and end-to-end customer-view measures, anticipating likely objections and resistance.
- integrateAfter this book you can integrate metrics, benchmarking, Six Sigma, ISO/IEC 20000, and ROI analysis into a scalable roadmap from measurement to sustained improvement for an IT organization.Check: Capstone: develop a phased improvement roadmap for a case IT organization, with KPIs, a benchmarking approach, a DMAIC project, a certification plan, and a business case.
How to measure it
Turning each idea into a measure
For each construct: how to operationalize it, the observable signals to look for, and how well it holds up.
Assessed by reviewing metric definitions against quality criteria (accurate, well-defined, relevant, SMART targets) and coverage of technology/process/service levels.
- defined CSFs and KPIs
- SMART targets
- clear measurement procedures
Feasible via documentation review and expert appraisal.
Face validity strong given explicit criteria in the workbook. · Depends on consistent appraisal criteria.
Traced by mapping metrics and KPIs to stated business objectives and CSFs.
- CSF-KPI cascade
- business-linked KPIs
- results-oriented measures
Feasible via traceability analysis.
Grounded in workbook guidance to support business goals. · Reliable when mapping is documented.
Indicated by presence and frequency of benchmarking activities, databases, and partner comparisons.
- benchmarking database
- gap analyses
- partner comparisons
Feasible via archival and process evidence.
Consistent with benchmarking definitions in the workbook. · Reliable with documented processes.
Measured by projects completed, belts trained, and DMAIC phase adherence.
- number of projects
- black/green belts trained
- sigma capability tracking
Feasible via project and training records.
Strong per detailed Six Sigma documents. · Reliable with project tracking.
Assessed via leadership behavior, sponsorship, and resource allocation to initiatives.
- champion roles
- allocated resources
- executive participation
Feasible via perceptual and archival evidence.
Supported by Six Sigma culture and case studies. · Moderately reliable via multiple informants.
Inferred from balance of service-level versus component-level measurement and reporting.
- end-to-end service reports
- customer satisfaction measures
- service vs component framing
Feasible via perceptual assessment and reporting review.
Grounded in service measurement guidance. · Moderate; depends on interpretation.
Observed through improvement projects, tension metric use, and data-driven reviews.
- improvement projects
- balanced metrics
- review cadence
Feasible via behavioral and archival evidence.
Supported by tension metrics and Six Sigma themes. · Moderate with documented practices.
Captured via service metrics, KPIs, sigma levels, and reductions in defects, breaches, and MTTR.
- reduced SLA breaches
- reduced MTTR
- higher sigma capability
Feasible via archival service data.
Strong; based on objective metrics. · High with consistent measurement systems.
Measured via NPV, IRR, cost savings, audit outcomes, and certification.
- positive NPV/IRR
- passed audits
- documented savings
Feasible via financial and archival records.
Strong; based on ROI techniques described. · High with financial documentation.
Self-assessment
Where would you like to improve?
This is a structured self-diagnostic built from the model — a mirror for reflection, not a validated psychometric scale. For validated measurement, see the instruments below.
1 = Strongly Disagree · 7 = Strongly Agree
Proposed measures — starter instruments where no validated one was found
Metric Design Quality Index (Proposed)
proposed · not validatedRated for your team or hiring process — not a personal self-check.
- Every performance metric has a written definition that specifies its data source, calculation method, collection frequency, and named owner.
- Metrics are periodically reviewed for accuracy, repeatability, and unintended behavioral effects, and those that encourage gaming or perverse outcomes are revised or retired.
- Metric results are routinely used in documented review meetings to trigger specific improvement actions that are tracked through to completion.
Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.
Business Goal Alignment Index (Proposed)
proposed · not validatedRated for your team or hiring process — not a personal self-check.
- Every IT goal is documented with an explicit link to at least one stated business goal or objective.
- Each KPI and metric can be traced through critical success factors and IT goals to a business objective in a maintained mapping.
- Business stakeholders take part in reviewing and approving the IT metrics set at least once per planning cycle, and metrics with no business linkage are removed.
Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.
Benchmarking Practice Index (Proposed)
proposed · not validatedRated for your team or hiring process — not a personal self-check.
- Key processes, technology, staffing, and performance levels are compared against documented internal baselines on a defined schedule.
- Performance is compared against external industry norms or peer and competitor data from named sources, using normalized and comparable definitions.
- Benchmark findings are recorded with identified gaps and lead to assigned improvement actions that are followed up at the next benchmarking cycle.
Scale: 1–7 (Strongly Disagree → Strongly Agree), rated by an evaluator or the team. Average the items; treat ≤3 as a gap to close in the process.
Sources
- IT Governance Metrics Measurement and Benchmarking Best Practice Workbook Roadmap, Implementation and Management - Ready to… — Ivanka Menken Gerard Blokdijk · A practical workbook that shows IT organizations how to measure, benchmark, and continually improve service performance using ITIL, ISO/IEC 20000, Six Sigma, and ROI techniques.
The cheat sheet
Everything, on one page
One key takeaway from each section, with links to read more.
- Metric Design QualityEvery metric needs a written definition, owner, and linked decision, or it does not go on the scorecard.
- Business Goal AlignmentDerive metrics from business objectives top-down; retrofitting links produces the appearance of alignment only.
- Benchmarking PracticeBaseline internally before looking outward; otherwise external gaps cannot be trusted.
- Six Sigma Methodology UseChoose DMAIC projects by customer-relevant defects, not by what is easiest to run.
- Leadership CommitmentJudge commitment by resources and recurring behavior, not by endorsement statements.
- Customer Experience FocusMeasure the service as the customer receives it, in addition to its components.
- Improvement Focus and DisciplineDiscipline appears in everyday decisions, not in the count of improvement projects.
- Service Performance ImprovementBaseline before changing anything, or later gains cannot be attributed.
- Demonstrated Business ValueConvert technical gains into the language of cost, revenue, and risk before presenting them.
Publication details
Consult the sources listed in this guide for further reading. Edition 1 · Updated 2026-10-03.
Explore related books and profiles in the library.